Michael Figurnov
Michael Figurnov
DeepMind
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Spatially adaptive computation time for residual networks
M Figurnov, MD Collins, Y Zhu, L Zhang, J Huang, D Vetrov, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2282017
Perforatedcnns: Acceleration through elimination of redundant convolutions
M Figurnov, A Ibraimova, DP Vetrov, P Kohli
Advances in neural information processing systems 29, 947-955, 2016
1442016
Implicit reparameterization gradients
M Figurnov, S Mohamed, A Mnih
NeurIPS 2018, 2018
1312018
Monte Carlo Gradient Estimation in Machine Learning.
S Mohamed, M Rosca, M Figurnov, A Mnih
J. Mach. Learn. Res. 21 (132), 1-62, 2020
1262020
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
1202021
Variational autoencoder with arbitrary conditioning
O Ivanov, M Figurnov, D Vetrov
ICLR 2019, 2018
692018
High accuracy protein structure prediction using deep learning
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, K Tunyasuvunakool, ...
Fourteenth Critical Assessment of Techniques for Protein Structure …, 2020
672020
Computational predictions of protein structures associated with COVID-19
J Jumper, K Tunyasuvunakool, P Kohli, D Hassabis, A Team
DeepMind website, 2020
51*2020
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
302021
Tensor Train Decomposition on TensorFlow (T3F).
A Novikov, P Izmailov, V Khrulkov, M Figurnov, IV Oseledets
J. Mach. Learn. Res. 21 (30), 1-7, 2020
242020
Probabilistic adaptive computation time
M Figurnov, A Sobolev, D Vetrov
arXiv preprint arXiv:1712.00386, 2017
72017
Linear combination of random forests for the Relevance Prediction Challenge
M Figurnov, A Kirillov
Proc. of Int. Conf. on Web Service and Data Mining workshop on Web Search …, 2012
62012
Measure-valued derivatives for approximate Bayesian inference
M Rosca, M Figurnov, S Mohamed, A Mnih
NeurIPS Workshop on Approximate Bayesian Inference, 2019
32019
Устойчивый к шуму метод обучения вариационного автокодировщика
МВ Фигурнов, КА Струминский, ДП Ветров
Интеллектуальные системы. Теория и приложения 21 (2), 90-109, 2017
22017
Robust variational inference
M Figurnov, K Struminsky, D Vetrov
arXiv preprint arXiv:1611.09226, 2016
22016
Protein Structure Prediction from Amino Acid Sequences Using Self-Attention Neural Networks
J Jumper, AW Senior, RA Evans, RJ Bates, M Figurnov, A Pritzel, ...
US Patent App. 17/108,890, 2021
2021
Entropy Estimates for Generative Models
K Struminsky, M Figurnov, D Vetrov
2018
Universal Conditional Machine.
O Ivanov, M Figurnov, DP Vetrov
CoRR, 2018
2018
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Artikkelit 1–18